Bi-histogram equalization with a plateau limit for digital image enhancement


Many histogram equalization based methods have been introduced for the use in consumer electronics in recent years. Yet, many of these methods are relatively complicated to be implemented, and mostly require a high computational time. Furthermore, some of the methods require several predefined parameters from the user, which make the optimal results cannot be obtained automatically. Therefore, this paper presents Bi-Histogram Equalization with a Plateau Level (BHEPL) as one of the options for the system that requires a short processing time image enhancement. First, BHEPL divides the input histogram into two independent sub-histograms. This is done in order to maintain the mean brightness. Then, these sub-histograms are clipped based on the calculated plateau value. By doing this, excessive enhancement can be avoided. Experimental results show that this method only requires 34.20ms, in average, to process images of size 3648×2736 pixels (i.e. 10 Mega pixels images). The proposed method also gives better enhancement results as compared with some multi-sections mean brightness preserving histogram equalization methods. Index Terms — Image contrast enhancement, histogram equalization, brightness preserving enhancement, clipped histogram equalization.

DOI: 10.1109/TCE.2009.5373771

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@article{Ooi2009BihistogramEW, title={Bi-histogram equalization with a plateau limit for digital image enhancement}, author={Chen Hee Ooi and Nicholas Sia Pik Kong and Haidi Ibrahim}, journal={IEEE Trans. Consumer Electronics}, year={2009}, volume={55}, pages={2072-2080} }